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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Drawing Networks of Political Leaders: Global Affairs in The Economist’s KAL’s Cartoons

Ch. n/a. P. 673–681.
Golubev N., Vladimirova A.

Analysis of political cartoons as multimodal metaphors requires a complex set of methods and techniques to be incorporated into a research project. We believe that network analysis could help to explore the explicit and implicit meanings of this type of text, especially in a case of drawings based on world politics topics. To introduce our approach to building networks from visual metaphors and to demonstrate essential issues connected with its coding we have taken cartoons created by Kevin ‘KAL’ Kallaugher, one of the premier modern caricaturists. In this paper, our data consist of 50 images published in 2018 in The Economist’s special section “The World this Week,” which is dedicated to the most important events in global affairs. The main aim of our paper was to show a research design that allows us to turn pictures of political leaders into a multilayer international relations network inconspicuously drawn by an artist frame by frame within a year. We have also found that the use of multiplex networks allows to capture patterns of interactions in a very explicit manner and brings many benefits to qualitative research that deals with specific issues, such as Brexit or Eurocentrism.

Language: English
DOI
Text on another site
Keywords: network analysisMultiplexEditorial cartoonsGlobal affairsMultimodal metaphorMultilayer networksPolitical leaders

In book

Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence
Vol. 881. , Cham: Springer, 2020.
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